Trust Assessment
sentry-cli received a trust score of 26/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 3 findings: 2 critical, 1 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Remote code execution: curl/wget pipe to shell, Direct execution of remote script via curl | bash.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Arbitrary command execution Remote code download piped to interpreter Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands. | Manifest | skills/iahmadzain/sentry-cli/SKILL.md:16 | |
| CRITICAL | Remote code execution: curl/wget pipe to shell Detected a pattern that downloads and immediately executes remote code. This is a primary malware delivery vector. Never pipe curl/wget output directly to a shell interpreter. | Static | skills/iahmadzain/sentry-cli/SKILL.md:16 | |
| HIGH | Direct execution of remote script via curl | bash The skill documentation suggests installing `sentry-cli` by piping the output of `curl` directly to `bash`. This practice executes arbitrary code downloaded from a remote server without prior inspection, posing a significant supply chain risk. If the remote server or the script itself is compromised, it could lead to arbitrary code execution on the host system. Avoid piping `curl` output directly to `bash`. Instead, download the script, review its contents for malicious code, and then execute it. Alternatively, prefer using established package managers like `brew` or `npm` for installation, as they often provide better integrity checks and version management. | LLM | SKILL.md:23 |
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